文章基本信息

标题：Bifurcation and synchronization analysis of neural mass model subpopulations
本地全文：下载
作者：Andrey A. Gorshkov ; Sergei A. Plotnikov ; Alexander L. Fradkov 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：14741-14745
DOI：10.1016/j.ifacol.2017.08.2577
语种：English
出版社：Elsevier
摘要：AbstractThis paper studies possible bifurcations and synchronization of subpopulations of a class of macroscopic models called neural mass models. These models describe the mean activity of entire neural populations, represented by their averaged firing rates and membrane potentials. Connections between the nodes represent the static nonlinear sigmoidal function. We study local bifurcations and make a global stability analysis for one subpopulation of the neural mass model. Also we consider the behavior of two coupled subpopulations and find the sufficient conditions of their synchronization.
关键词：KeywordsNeural dynamicsNonlinear systemsPitchfork bifurcationSynchronizationLyapunov function